FLUX.1 Fill [dev] - AI Vision Models Tool
Overview
FLUX.1 Fill [dev] is a 12-billion parameter rectified flow transformer from Black Forest Labs for text-guided image inpainting. It fills specified areas in existing images based on textual descriptions and is intended for creative image-editing workflows. The model integrates with the diffusers ecosystem and is distributed under a non-commercial license. The Hugging Face model page provides the model artifacts and metadata.
Key Features
- 12-billion parameter rectified flow transformer
- Designed specifically for text-guided inpainting tasks
- Fills targeted regions of existing images per text prompts
- Integrates with the diffusers library and pipelines
- Distributed under a non-commercial license
- Aimed at creative image editing workflows
Ideal Use Cases
- Targeted inpainting to modify parts of an image
- Creative edits guided by textual descriptions
- Repairing or replacing specific image regions
- Integration into diffusion-based editing pipelines
Getting Started
- Review the model's non-commercial license on the Hugging Face page
- Install and configure the diffusers library and required dependencies
- Load the model from the provided Hugging Face URL
- Prepare an input image and a mask for the region to fill
- Compose a clear text prompt describing the desired fill
- Run the inpainting pipeline and iterate on prompt and settings
Pricing
Not disclosed; the model page does not list pricing information.
Limitations
- Non-commercial license restricts commercial use and deployments
- Focused on inpainting rather than general-purpose image generation
- 12-billion parameter size may require substantial GPU memory and compute
Key Information
- Category: Vision Models
- Type: AI Vision Models Tool